3 papers
eess.IV2025
UNet with Self-Adaptive Mamba-Like Attention and Causal-Resonance Learning for Medical Image Segmentation
Saqib Qamar, Mohd Fazil, Parvez Ahmad +2
Medical image segmentation plays an important role in various clinical applications; however, existing deep learning models face trade-offs between efficiency and accuracy. Convolu…
eess.IV2020
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
Saqib Qamar, Parvez Ahmad, Linlin Shen
The brain tumor segmentation task aims to classify tissue into the whole tumor (WT), tumor core (TC), and enhancing tumor (ET) classes using multimodel MRI images. Quantitative ana…
eess.IV2020
Context Aware 3D UNet for Brain Tumor Segmentation
Parvez Ahmad, Saqib Qamar, Linlin Shen +1
Deep convolutional neural network (CNN) achieves remarkable performance for medical image analysis. UNet is the primary source in the performance of 3D CNN architectures for medica…